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  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

    Disponível em 2024-12-05Acesso à fonteDOIHow to cite
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      CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, v. 65, n. 5, p. 802-817, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10851-023-01158-7. Acesso em: 01 maio 2024.
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      Condori, M. A. T., & Miranda, P. A. V. de. (2023). Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, 65( 5), 802-817. doi:10.1007/s10851-023-01158-7
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      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
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      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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      BRAZ, Caio de Moraes et al. Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, v. 62, n. 5, p. 659-672, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10851-020-00953-w. Acesso em: 01 maio 2024.
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      Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2020). Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, 62( 5), 659-672. doi:10.1007/s10851-020-00953-w
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      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
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      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
  • Source: Journal of Mathematical Imaging and Vision. Unidades: IME, EACH

    Assunto: VISÃO COMPUTACIONAL

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      MORIMOTO, Carlos Hitoshi e COUTINHO, Flávio Luíz e HANSEN, Dan W. Screen-light decomposition framework for point-of-gaze estimation using a single uncalibrated camera and multiple light sources. Journal of Mathematical Imaging and Vision, v. 62, n. 4, p. 585-605, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10851-020-00947-8. Acesso em: 01 maio 2024.
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      Morimoto, C. H., Coutinho, F. L., & Hansen, D. W. (2020). Screen-light decomposition framework for point-of-gaze estimation using a single uncalibrated camera and multiple light sources. Journal of Mathematical Imaging and Vision, 62( 4), 585-605. doi:10.1007/s10851-020-00947-8
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      Morimoto CH, Coutinho FL, Hansen DW. Screen-light decomposition framework for point-of-gaze estimation using a single uncalibrated camera and multiple light sources [Internet]. Journal of Mathematical Imaging and Vision. 2020 ;62( 4): 585-605.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-020-00947-8
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      Morimoto CH, Coutinho FL, Hansen DW. Screen-light decomposition framework for point-of-gaze estimation using a single uncalibrated camera and multiple light sources [Internet]. Journal of Mathematical Imaging and Vision. 2020 ;62( 4): 585-605.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-020-00947-8
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA

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      FLORINDO, João Batista e BRUNO, Odemir Martinez. Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, v. 61, n. Ja 2019, p. 140-159, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0832-y. Acesso em: 01 maio 2024.
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      Florindo, J. B., & Bruno, O. M. (2019). Fractal descriptors of texture images based on the triangular prism dimension. Journal of Mathematical Imaging and Vision, 61( Ja 2019), 140-159. doi:10.1007/s10851-018-0832-y
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      Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
    • Vancouver

      Florindo JB, Bruno OM. Fractal descriptors of texture images based on the triangular prism dimension [Internet]. Journal of Mathematical Imaging and Vision. 2019 ; 61( Ja 2019): 140-159.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0832-y
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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      CIESIELSKI, Krzysztof Chris e FALCÃO, Alexandre Xavier e MIRANDA, Paulo André Vechiatto de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, v. 60, n. 7, p. 1025–1036, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0793-1. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Falcão, A. X., & Miranda, P. A. V. de. (2018). Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, 60( 7), 1025–1036. doi:10.1007/s10851-018-0793-1
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      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
    • Vancouver

      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL

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      CASACA, Wallace Correa de Oliveira et al. Spectral image segmentation using image decomposition and inner product-based metric. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 227-238, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0359-6. Acesso em: 01 maio 2024.
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      Casaca, W. C. de O., Paiva Neto, A., Gomez-Nieto, E., Joia, P., & Nonato, L. G. (2013). Spectral image segmentation using image decomposition and inner product-based metric. Journal of Mathematical Imaging and Vision, 45( 3), 227-238. doi:10.1007/s10851-012-0359-6
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      Casaca WC de O, Paiva Neto A, Gomez-Nieto E, Joia P, Nonato LG. Spectral image segmentation using image decomposition and inner product-based metric [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 227-238.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0359-6
    • Vancouver

      Casaca WC de O, Paiva Neto A, Gomez-Nieto E, Joia P, Nonato LG. Spectral image segmentation using image decomposition and inner product-based metric [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 227-238.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0359-6
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      BELUSSI, Luiz Felipe Franco e HIRATA, Nina Sumiko Tomita. Fast component-based QR Code detection in arbitrarily acquired images. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 277-292, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0355-x. Acesso em: 01 maio 2024.
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      Belussi, L. F. F., & Hirata, N. S. T. (2013). Fast component-based QR Code detection in arbitrarily acquired images. Journal of Mathematical Imaging and Vision, 45( 3), 277-292. doi:10.1007/s10851-012-0355-x
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      Belussi LFF, Hirata NST. Fast component-based QR Code detection in arbitrarily acquired images [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 277-292.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0355-x
    • Vancouver

      Belussi LFF, Hirata NST. Fast component-based QR Code detection in arbitrarily acquired images [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 277-292.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0355-x
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SILVA, Thiago C e LIANG, Zhao e CUPERTINO, Thiago H. Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 264-276, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0353-z. Acesso em: 01 maio 2024.
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      Silva, T. C., Liang, Z., & Cupertino, T. H. (2013). Handwritten data clustering using agents competition in networks. Journal of Mathematical Imaging and Vision, 45( 3), 264-276. doi:10.1007/s10851-012-0353-z
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      Silva TC, Liang Z, Cupertino TH. Handwritten data clustering using agents competition in networks [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 264-276.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0353-z
    • Vancouver

      Silva TC, Liang Z, Cupertino TH. Handwritten data clustering using agents competition in networks [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 264-276.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0353-z
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CIESIELSKI, Krzysztof Chris et al. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis. Journal of Mathematical Imaging and Vision, v. 44 n. 3, p. 375-398, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0333-3. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Udupa, J. K., Falcão, A. X., & Miranda, P. A. V. de. (2012). Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis. Journal of Mathematical Imaging and Vision, 44 n. 3, 375-398. doi:10.1007/s10851-012-0333-3
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      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis [Internet]. Journal of Mathematical Imaging and Vision. 2012 ; 44 n. 3 375-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0333-3
    • Vancouver

      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis [Internet]. Journal of Mathematical Imaging and Vision. 2012 ; 44 n. 3 375-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0333-3
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      CUADROS-VARGAS, Alex Jesus et al. Generating segmented quality meshes from images. Journal of Mathematical Imaging and Vision, v. 33, n. 1, p. 11-23, 2009Tradução . . Disponível em: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2. Acesso em: 01 maio 2024.
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      Cuadros-Vargas, A. J., Lizier, M., Minghim, R., & Nonato, L. G. (2009). Generating segmented quality meshes from images. Journal of Mathematical Imaging and Vision, 33( 1), 11-23. Recuperado de http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
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      Cuadros-Vargas AJ, Lizier M, Minghim R, Nonato LG. Generating segmented quality meshes from images [Internet]. Journal of Mathematical Imaging and Vision. 2009 ;33( 1): 11-23.[citado 2024 maio 01 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
    • Vancouver

      Cuadros-Vargas AJ, Lizier M, Minghim R, Nonato LG. Generating segmented quality meshes from images [Internet]. Journal of Mathematical Imaging and Vision. 2009 ;33( 1): 11-23.[citado 2024 maio 01 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      BRUN, Marcel et al. Nonlinear filter design using envelopes. Journal of Mathematical Imaging and Vision, v. 21, n. 1, p. 81-97, 2004Tradução . . Disponível em: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6. Acesso em: 01 maio 2024.
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      Brun, M., Hirata Júnior, R., Barrera, J., & Dougherty, E. R. (2004). Nonlinear filter design using envelopes. Journal of Mathematical Imaging and Vision, 21( 1), 81-97. doi:10.1023%2FB%3AJMIV.0000026558.10581.e6
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      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Nonlinear filter design using envelopes [Internet]. Journal of Mathematical Imaging and Vision. 2004 ; 21( 1): 81-97.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6
    • Vancouver

      Brun M, Hirata Júnior R, Barrera J, Dougherty ER. Nonlinear filter design using envelopes [Internet]. Journal of Mathematical Imaging and Vision. 2004 ; 21( 1): 81-97.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FB%3AJMIV.0000026558.10581.e6
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: CIÊNCIA DA COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior. A greedy algorithm for decomposing convex structuring elements. Journal of Mathematical Imaging and Vision, v. 18, n. 3, p. 269-289, 2003Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1022847527229. Acesso em: 01 maio 2024.
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      Hashimoto, R. F., & Barrera, J. (2003). A greedy algorithm for decomposing convex structuring elements. Journal of Mathematical Imaging and Vision, 18( 3), 269-289. doi:10.1023%2FA%3A1022847527229
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      Hashimoto RF, Barrera J. A greedy algorithm for decomposing convex structuring elements [Internet]. Journal of Mathematical Imaging and Vision. 2003 ; 18( 3): 269-289.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1022847527229
    • Vancouver

      Hashimoto RF, Barrera J. A greedy algorithm for decomposing convex structuring elements [Internet]. Journal of Mathematical Imaging and Vision. 2003 ; 18( 3): 269-289.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1022847527229
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      HIRATA JÚNIOR, Roberto et al. Multiresolution design of aperture operators. Journal of Mathematical Imaging and Vision, v. 16, n. 3, p. 199-222, 2002Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1020377610141. Acesso em: 01 maio 2024.
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      Hirata Júnior, R., Brun, M., Barrera, J., & Dougherty, E. R. (2002). Multiresolution design of aperture operators. Journal of Mathematical Imaging and Vision, 16( 3), 199-222. doi:10.1023%2FA%3A1020377610141
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      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Multiresolution design of aperture operators [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 199-222.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1020377610141
    • Vancouver

      Hirata Júnior R, Brun M, Barrera J, Dougherty ER. Multiresolution design of aperture operators [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 199-222.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1020377610141
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      DOUGHERTY, Edward R. e BARRERA, Júnior. Pattern recognition theory in nonlinear signal processing. Journal of Mathematical Imaging and Vision, v. 16, n. 3, p. 181-197, 2002Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1020325626071. Acesso em: 01 maio 2024.
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      Dougherty, E. R., & Barrera, J. (2002). Pattern recognition theory in nonlinear signal processing. Journal of Mathematical Imaging and Vision, 16( 3), 181-197. doi:10.1023%2FA%3A1020325626071
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      Dougherty ER, Barrera J. Pattern recognition theory in nonlinear signal processing [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 181-197.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1020325626071
    • Vancouver

      Dougherty ER, Barrera J. Pattern recognition theory in nonlinear signal processing [Internet]. Journal of Mathematical Imaging and Vision. 2002 ; 16( 3): 181-197.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1020325626071
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior. From the sup-decomposition to sequential decompositions. Journal of Mathematical Imaging and Vision, v. 15, n. 3, p. 197-216, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1012276422769. Acesso em: 01 maio 2024.
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      Hashimoto, R. F., & Barrera, J. (2001). From the sup-decomposition to sequential decompositions. Journal of Mathematical Imaging and Vision, 15( 3), 197-216. doi:10.1023%2FA%3A1012276422769
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      Hashimoto RF, Barrera J. From the sup-decomposition to sequential decompositions [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 15( 3): 197-216.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1012276422769
    • Vancouver

      Hashimoto RF, Barrera J. From the sup-decomposition to sequential decompositions [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 15( 3): 197-216.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1012276422769
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      DOUGHERTY, Edward R. et al. Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, v. 14, n. 1, p. 53-72, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1008311431244. Acesso em: 01 maio 2024.
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      Dougherty, E. R., Barrera, J., Mozelle, G., Kim, S., & Brun, M. (2001). Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, 14( 1), 53-72. doi:10.1023%2FA%3A1008311431244
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      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244
    • Vancouver

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior e FERREIRA, Carlos Eduardo. A combinatorial optimization technique for the sequential decomposition of erosions and dilations. Journal of Mathematical Imaging and Vision, v. 13, n. 1, p. 17-33, 2000Tradução . . Disponível em: https://doi.org/10.1023/A:1008373522375. Acesso em: 01 maio 2024.
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      Hashimoto, R. F., Barrera, J., & Ferreira, C. E. (2000). A combinatorial optimization technique for the sequential decomposition of erosions and dilations. Journal of Mathematical Imaging and Vision, 13( 1), 17-33. doi:10.1023/A:1008373522375
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      Hashimoto RF, Barrera J, Ferreira CE. A combinatorial optimization technique for the sequential decomposition of erosions and dilations [Internet]. Journal of Mathematical Imaging and Vision. 2000 ; 13( 1): 17-33.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023/A:1008373522375
    • Vancouver

      Hashimoto RF, Barrera J, Ferreira CE. A combinatorial optimization technique for the sequential decomposition of erosions and dilations [Internet]. Journal of Mathematical Imaging and Vision. 2000 ; 13( 1): 17-33.[citado 2024 maio 01 ] Available from: https://doi.org/10.1023/A:1008373522375

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